Sentence examples for functioning of machine from inspiring English sources

In the following subsection, we briefly summarize the basic functioning of machine learning paradigms; readers already familiar with the topic can refer directly to Section 2.2.

The rest of the paper is organized as follows: Section 2 first summarizes the basic functioning of machine learning paradigms and then shows how they can be employed to support VQA. Section 3 explores more in detail the issues to be addressed when setting up a ML-based prediction system and possible solutions to overcome them.

The backup support in terms of redundancy is also helpful in enhancing the performance and smooth functioning of the machining system.

It was a way of thinking about improving the functioning of machines, now transferred to humans.

To tackle with this challenge, this paper presents a hybrid objective function of machine learning algorithms in optimizing energy consumption of residential buildings through considering both continuous and discrete parameters of energy simultaneously.

The accuracy of the VMC is characterized in the form of geometric and thermal errors as a function of machine tool nominal axis position, temperature distribution and environmental effect (air temperature, air pressure and relative humidity).

The cost estimation of the machine failure as a function of machine operation time (t) is calculable by Eq. (2): {text{BR}} = frac{tcdotbeta }{text{MTBF}}, (2 where MTBF represents the mean time between failures, β denotes cost of machine failure each time and BR is the failure costs over the planning horizon.

The downtime estimation of the machine failure as a function of machine operation time t is calculated by Eq. (3): T_{text{rep}} = frac{{tcdot{text{MTTR}}}}{text{MTBF}}, (3)where MTTR represents the mean time to repair and Trep represents the total time of the machine downtime in the planning horizon.

Operator input of slurry total nitrogen content, determined by onboard hydrometer in the field, and target application rate in the control unit ensured that nitrogen was applied at a constant rate based on metering pump rotational speed as a function of machine forward speed.

Instead, Mr. Mooney fears what he calls green goo: microorganisms that have been manipulated through nanotechnology to take over the function of machines but that begin reproducing out of control.

These concepts of work are fundamental in defining the mechanical work function of machines in terms of forces and motions, and they bring out the inseparability of forces and motions in machines.